{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Generic processing"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Concatenation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import mikeio"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Take a look at these two files with overlapping timesteps."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DataSet(data, time, names)\n",
       "Number of items: 1\n",
       "Shape: (97, 10)\n",
       "2019-01-01 00:00:00 - 2019-01-03 00:00:00"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t1 = mikeio.read(\"../tests/testdata/tide1.dfs1\")\n",
    "t1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DataSet(data, time, names)\n",
       "Number of items: 1\n",
       "Shape: (97, 10)\n",
       "2019-01-02 00:00:00 - 2019-01-04 00:00:00"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t2 = mikeio.read(\"../tests/testdata/tide2.dfs1\")\n",
    "t2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Plot one of the points along the line."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x139418acbc8>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(t1.time,t1.data[0][:,1], label=\"File 1\")\n",
    "plt.plot(t2.time,t2.data[0][:,1],'k+', label=\"File 2\")\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "import mikeio.generic\n",
    "\n",
    "mikeio.generic.concat(infilenames=[\"../tests/testdata/tide1.dfs1\",\n",
    "                                   \"../tests/testdata/tide2.dfs1\"],\n",
    "                     outfilename=\"concat.dfs1\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DataSet(data, time, names)\n",
       "Number of items: 1\n",
       "Shape: (145, 10)\n",
       "2019-01-01 00:00:00 - 2019-01-04 00:00:00"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "c = mikeio.read(\"concat.dfs1\")\n",
    "plt.plot(c.time,c.data[0][:,1])\n",
    "c"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Clean up"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "os.remove(\"concat.dfs1\")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
